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International Conference on Advanced Research in Computer Science Engineering and Technology (ICARCSET)

作者： Ganesan, M. PremKumar, A. KumaraKrishnan, S. Lalitha, E. Manjula, B. Amudhavel, J. SMVEC Dept CSE Madagadipet India

ISBN: (纸本)9781450334419

In this paper, we describe about the wireless sensor networks (WSN) in which are used to monitor the physical conditions and co-operatively send the messages of the sensor to the main location. The existing system has been focused on detecting abnormal heart rate by placing the sensor on the pacemaker during bypass surgery. If any abnormalities found, then the warning message has been sent to the patient's relatives. But the issues in the system are, they cannot discuss about the network [41] lifetime and tracking of the patient's location. Our system helps in finding the abnormalities of heart beat rate and also medicine intake by the patient using bayesian algorithm. The paper highlights the need of personal caring of the patient by the hospital that will reduce unnecessary delay in providing treatment to a patient. It also concentrates on the network lifetime maximization and distance metrics while moving from one network to another network.

关键词： Wireless sensor networks Abnormalities Network lifetime maximization Heart beat rate bayesian algorithm

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Concrete Crack Image Recognition System Based on bayesian algorithm 1

Concrete Crack Image Recognition System Based on Bayesian Al...

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1st IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Xiu, Yu School of Environmental Arts&architectural Engineering Heilongjiang University of Technology China

ISBN: (纸本)9798350316469

Concrete crack detection is an important link in the construction of water conservancy projects, which has a significant impact on dam safety. Therefore, it is particularly important to study a fast, accurate and economical crack identification system. bayesian algorithm is a probabilistic algorithm based on prior information, which has a high recognition accuracy. The article first preprocesses the concrete crack image, and then uses the bayesian algorithm to identify cracks on the processed image. The system can realize real-time and automatic identification of concrete cracks, and can display the identification results through the human-computer interaction interface. The test results show that the highest recognition accuracy of the system can reach 91.6%. This method provides an effective solution for crack detection and monitoring. The high recognition accuracy achieved in the test further verifies the effectiveness of the system. Future research can focus on expanding the system's ability to handle more complex crack patterns and improving the efficiency of its large-scale applications. © 2023 IEEE.

关键词： bayesian algorithm Concrete Crack Human-Computer Interaction Image Recognition

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Digital Media Art Design Model Based on Semantic Guided bayesian algorithm 3

Digital Media Art Design Model Based on Semantic Guided Baye...

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3rd IEEE International Conference on Electrical Engineering, Big Data and algorithms, EEBDA 2024

作者： Jiao, Xiangting Yang, Chunhui Jincheng College of Art and Design Chengde College of Applied Technology Hebei Chengde China City University Malaysia Petaling Jaya Malaysia

ISBN: (纸本)9798350380989

Digital media art design plays an important role in the field of contemporary art, but traditional art design models face the limitations of low accuracy and low stability, and a digital media art design model based on semantically guided bayesian algorithm provides a potential solution. This study uses a digital media art design model based on semantically guided bayesian algorithm as the research object. By experimenting and tuning the algorithm, the article evaluates the computational efficiency, stability, and accuracy of the model. The research results show that the computational efficiency of this method is between 83 % and 92%. The digital media art design model based on semantically guided bayesian algorithm has potential and prospects. It can generate high-quality, expected artistic design works, which can enhance user satisfaction and wide application. © 2024 IEEE.

关键词： Art Design bayesian algorithm Digital Media Semantic Guidance

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Application and Practice of bayesian algorithm in Experimental Teaching of Applied Mathematics 3

Application and Practice of Bayesian Algorithm in Experiment...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Zhang, Hongsong Shandong Polytechnic College Shandong Province Jining City272000 China

ISBN: (纸本)9798350319125

Since the 21st century, people have made great progress in the research of artificial intelligence. As an important method to express uncertain knowledge, bayesian network has become one of the hot spots and important achievements in artificial intelligence research. Building an effective bayesian network structure is also the basis and core of learning and applying bayesian network. This research aims to introduce the application of bayesian algorithm (BA) in mathematics teaching. BA can be used to supplement or replace the standard learning method of mathematics. In order to enable students to learn more effectively, teachers need to know which methods are effective and how to apply these methods to improve students' learning. This paper aims to apply bayesian method to experimental learning environment. The study provides findings, conclusions and recommendations. © 2023 IEEE.

关键词： bayesian algorithm Experimental teaching mathematics

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Research on the Development Evaluation of New Power System Based on Improved Cloud Model of bayesian algorithm 2

Research on the Development Evaluation of New Power System B...

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2nd Asian Conference on Frontiers of Power and Energy (ACFPE)

作者： Yang, Xinyu Zhang, Yifan Ren, Weilin Zeng, Bo Wang, Yuqing Zhang, Xiaochun North China Elect Power Univ Sch Elect & Elect Engn Beijing Peoples R China North China Elect Power Univ Sch Econ & Management Beijing Peoples R China

ISBN: (纸本)9798350303896

To scientifically and reasonably assess the development level of China's new power system, this study first establishes an evaluation index system, with the main dimensions being "safety and reliability, flexibility and efficiency, friendly interaction, and low-carbon economy", comprising 11 primary indicators and 45 secondary indicators. The core of this research lies in the application of the comprehensive evaluation algorithm of the cloud model improved by the bayesian algorithm. Through the entropy weight-order relation method, specific weights are assigned to the index system. Using data from a certain province in China from 2021 as an example, the improved cloud model successfully determined the province's development level as "good to excellent" and proposed strategies for indicators with lower development levels. This validates the effectiveness and superiority of the cloud model improved by the bayesian algorithm in evaluating the development level of the new power system.

关键词： cloud model evaluation bayesian algorithm new power system comprehensive evaluation

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bayesian algorithm Based on Airborne Power Supply System

Bayesian Algorithm Based on Airborne Power Supply System

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3rd International Conference on Power and Energy Systems (ICPES 2013)

作者： Jiang Xu Hua Jingyu Beijing Univ Aeronaut & Astronaut Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9783037859919

The design assessment of airborne power system can be started from designing stage of the power system. It can analyse and evaluate the status of the power system. The key to the designation of evaluation system is how to evaluate the performance of the power system. With airborne power system as the research object, combined with military standard GJB181A - 2003,and through the onboard power system for co-test, it can establish a set of objective assessment strategies and methods can achieve comprehensive evaluation on the performance of airborne state of power system. Based on bayesian theory evaluation method. With 28 v low voltage dc onboard power system as an example, intercepting the multiple sets of test and analysis data to evaluate instances test and comparative analysis of the model, a comprehensive evaluation and the rationality of the evaluation result is verified by relevant experimental data.

关键词： airborne power system reliability comprehensive evaluation militarystandard bayesian algorithm

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Evaluation of a bayesian algorithm to Detect Burned Areas in the Canary Islands' Dry Woodlands and Forests Ecoregion Using MODIS Data

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REMOTE SENSING 2018年第5期10卷 789-789页

作者： Guindos-Rojas, Francisco Arbelo, Manuel Garcia-Lazaro, Jose R. Moreno-Ruiz, Jose A. Hernandez-Leal, Pedro A. Univ Almeria Dept Informat La Canada De San Urbano 04120 Spain Univ La Laguna Dept Fis San Cristobal De La Lagu 38200 Spain

Burned Area (BA) is deemed as a primary variable to understand the Earth's climate system. Satellite remote sensing data have allowed for the development of various burned area detection algorithms that have been globally applied to and assessed in diverse ecosystems, ranging from tropical to boreal. In this paper, we present a bayesian algorithm (BY-MODIS) that detects burned areas in a time series of Moderate Resolution Imaging Spectroradiometer (MODIS) images from 2002 to 2012 of the Canary Islands' dry woodlands and forests ecoregion (Spain). Based on daily image products MODIS, MOD09GQ (250 m), and MOD11A1 (1 km), the surface spectral reflectance and the land surface temperature, respectively, 10 day composites were built using the maximum temperature criterion. Variables used in BY-MODIS were the Global Environment Monitoring Index (GEMI) and Burn Boreal Forest Index (BBFI), alongside the NIR spectral band, all of which refer to the previous year and the year the fire took place in. Reference polygons for the 14 fires exceeding 100 hectares and identified within the period under analysis were developed using both post-fire LANDSAT images and official information from the forest fires national database by the Ministry of Agriculture and Fisheries, Food and Environment of Spain (MAPAMA). The results obtained by BY-MODIS can be compared to those by official burned area products, MCD45A1 and MCD64A1. Despite that the best overall results correspond to MCD64A1, BY-MODIS proved to be an alternative for burned area mapping in the Canary Islands, a region with a great topographic complexity and diverse types of ecosystems. The total burned area detected by the BY-MODIS classifier was 64.9% of the MAPAMA reference data, and 78.6% according to data obtained from the LANDSAT images, with the lowest average commission error (11%) out of the three products and a correlation (R-2) of 0.82. The bayesian algorithmoriginally developed to detect burned areas in North American b

关键词： MODIS burned area bayesian algorithm Canary Islands

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FILTERING SMOOTH ALTIMETRIC SIGNALS USING A bayesian algorithm

FILTERING SMOOTH ALTIMETRIC SIGNALS USING A BAYESIAN ALGORIT...

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European Signal Processing Conference

作者： Abderrahim Halimi Gerald Buller Steve McLaughlin Paul Honeine Heriot-Watt University School of Engineering and Physical Sciences Normandie Univ UNIROUEN

ISBN: (纸本)9781509018918

This paper presents a new bayesian strategy for the estimation of smooth signals corrupted by Gaussian noise. The method assumes a smooth evolution of a succession of continuous signals that can have a numerical or an analytical expression with respect to some parameters. The bayesian model proposed takes into account the Gaussian properties of the noise and the smooth evolution of the successive signals. In addition, a gamma Markov random field prior is assigned to the signal energies and to the noise variances to account for their known properties. The resulting posterior distribution is maximized using a fast coordinate descent algorithm whose parameters are updated by analytical expressions. The proposed algorithm is tested on satellite altimetric data demonstrating good denoising results on both synthetic and real signals. The proposed algorithm is also shown to improve the quality of the altimetric parameters when combined with a parameter estimation strategy.

关键词： Altimetry bayesian algorithm Coordinate descent algorithm Gamma Markov random fields

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Software Data Analysis Based on Adaptive bayesian algorithm and Dynamic Modeling

Software Data Analysis Based on Adaptive Bayesian Algorithm ...

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作者： Feng Zhang School of Medical Information Engineering Taishan Medical University

The purpose of the software metrics is to use software metrics to scientifically evaluate software quality,to more effectively control and manage the software development process,to rationally organize and allocate resources,to develop practical software development plans,and to reduce costs and achieve high *** metrics are divided into two major processes:measurement planning and also the measurement *** measurement implementation includes data collection,data analysis,feedback and *** can be seen that data analysis is an important part of software measurement ***,data analysis in software metrics has many problems in *** strategic significance of the era of big data lies not only in mastering large amounts of general data,but also in discovering and understanding the relationship between information content and information and *** data analysis is one of the core contents of big data *** analysis is the decisive factor in the decision-making process,and it is also the most critical link in the big data era to play the value of data.

关键词： Adaptive algorithm bayesian algorithm Dynamic modeling Software Data analysis

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Research on an Improved bayesian algorithm for Information Filtering

Research on an Improved Bayesian Algorithm for Information F...

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2011 IEEE International Conference on Information Theory and Information Security(ICITIS 2011)

作者： Jian Kuang , Jie Shao , Dengke Fan Beijing Un iversity of Posts and Telecommunications, Beijing, China

bayesian algorithm, which is a representative of the content-basing spam filtering technology, could use a self- learning method to effectively filter the spam without human intervention, and it has been becoming a major spam filtering technology. Based on Naive bayesian algorithm, this paper presents a new method of calculating the weight and a sample - processing algorithm to effectively improve the accuracy of classification and the efficiency of self-learning process.

关键词： bayesian algorithm weight self-learning accuracy efficiency

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